文献类型：期刊文献

英文题名：A new constraint handling method based on the modified Alopex-based evolutionary algorithm

作者：Wang, Zhen[1];Li, Shaojun[1];Sang, Zhixiang[1]

机构：[1]E China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China

年份：2014

卷号：73

期号：1

起止页码：41

外文期刊名：COMPUTERS & INDUSTRIAL ENGINEERING

收录：;EI(收录号：20142217758703);WOS:【SCI-EXPANDED(收录号:WOS:000338622100006)】；

基金：The authors of this paper appreciate the National Natural Science Foundation of China (under Project No. 21176072) and the Fundamental Research Funds for the Central Universities for their financial support.

语种：英文

外文关键词：AEA; EDA; Constrained optimization problems; Adaptive penalty function

摘要：In this paper, a new constraint handling method based on a modified AEA (Alopex-based evolutionary algorithm) is proposed. Combined with a new proposed ranking and selecting strategy, the algorithm gradually converges to a feasible region from a relatively feasible region. By introduction of an adaptive relaxation parameter it, the algorithm fully takes into account different functions corresponding to different sizes of feasible region. In addition, an adaptive penalty function method is employed, which adaptively adjust the penalty coefficient so as to guarantee a moderate penalty. By solving 11 benchmark test functions and two engineering problems, experiment results indicate that the proposed method is reliable and efficient for solving constrained optimization problems. Also, it has great potential in handling many engineering problems with constraints, even with equations. (C) 2014 Elsevier Ltd. All rights reserved.